where \(\alpha \)  is chosen to be 0.7 by grid search.
The LAS and MTL objectives are optimized with teacher forcing with probability 0.5.
We train each model for 200 epochs with Adam [1]} using a learning rate of 1e-3, batch size 128, and gradient clipping.
